Assumed knowledge
Data files
Design your Own MLR & Dummy Coding
 Conduct a meaningful MLR analysis (of your own design)
and be able to interpret the analysis  explain it to someone next to
you or your tutor.
 For the above analysis, obtain and interpret an analysis of
multivariate outliers (use Mahalanobois and Cook's Distance  see
notes in previous tutorial)
 Conduct a meaningful MLR analysis which requires you to recode one
or more of the variables as dummy variables.
 For either of the above analyses, conduct the analysis using
each of Direct, Forward, Backward, Stepwise, and Hierarchical methods.
Be able to interpret and analyse why or why there aren't differences
between the output for each method.
Partial Correlations
 Work out how to produce standalone partial correlation tables in
SPSS.
 Produce standalone correlations and partial correlations from any
dataset and be able to depict this data in a Venn Diagram.
Critical Reading of MLR in Articles
 Find a published research article which has used Multiple Linear
Regression.
 Briefly summarise, explain and critique the articles' use of
Multiple Linear Regression. You should include and
interpret the articles' APA reference details, describe variables,
summarise the research question/hypothesis, relevant statistics and relations
amongst the variables. Also emphasize what the results mean.
You are also encouraged to make critical comment, e.g., Is this use of
regression appropriate? Could/should the analysis have been
conducted differently? (these questions are only suggestions)
 IMPORTANT: You will be asked this question in the MLR2 quiz  it
will be worth 1.5 marks. You may preprepare your answer and
then cut and paste from an electronic attachment during the exam
(e.g., beforehand email it to yourself, bring on a floppy disk or data
key). Alternatively you could print it out and then retype in
during the exam.
 Word limit: 250 words  longer answers will have a penalty
applied.
